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Knowledge of the Internet Protocol (IP) address is essential for connection establishment in certain classes of synchronous distributed applications, such as Internet telephony and video‐conferencing systems. A problem of dynamic IP addressing arises when the connection to the Internet is through an Internet service provider, since the IP address is dynamically allocated only at connection time. Proposes and draws a contrast between a number of generic methods that can be classified as online and offline methods for the resolution of dynamic IP addressing. Online methods, which include the World Wide Web, exchange server and the dynamic Domain Name System, are only effective when both the caller and recipient are logged on to the Internet. On the other hand, offline methods, which include electronic mailing and directory service look‐up, provide an additional means to allow the caller to leave messages when the recipient is not logged on to the Internet. Of these methods, the dynamic Domain Name System and directory service look‐up appear to be the best for resolving dynamic IP addressing.

Many scientific publications are now available on the World Wide Web for researchers to share research findings. However, they tend to be poorly organised, making the search of relevant publications difficult and time‐consuming. Most existing search engines are ineffective in searching these publications, as they do not index Web publications that normally appear in PDF (portable document format) or PostScript formats. Proposes a Web citation‐based retrieval system, known as PubSearch, for the retrieval of Web publications. PubSearch indexes Web publications based on citation indices and stores them into a Web Citation Database. The Web Citation Database is then mined to support publication retrieval. Apart from supporting the traditional cited reference search, PubSearch also provides document clustering search and author clustering search. Document clustering groups related publications into clusters, while author clustering categorizes authors into different research areas based on author co‐citation analysis.

This paper aims to address the following challenge: the push to widen participation in public consultation suggests social media as an additional mechanism through which to engage the public. Bioenergy companies need to build their capacity to communicate in these new media and to monitor the attitudes of the public and opposition organizations towards energy development projects.

This short paper outlines the planning issues bioenergy developments face and the main methods of communication used in the public consultation process in the UK. The potential role of social media in communication with stakeholders is identified. The capacity of sentiment analysis to mine opinions from social media is summarised and illustrated using a sample of tweets containing the term “bioenergy”.

Social media have the potential to improve information flows between stakeholders and developers. Sentiment analysis is a viable methodology, which bioenergy companies should be using to measure public opinion in the consultation process. Preliminary analysis shows promising results.

Analysis is preliminary and based on a small dataset. It is intended only to illustrate the potential of sentiment analysis and not to draw general conclusions about the bioenergy sector.

Social media have the potential to open access to the consultation process and help bioenergy companies to make use of waste for energy developments.

Opinion mining, though established in marketing and political analysis, is not yet systematically applied as a planning consultation tool. This is a missed opportunity.

The purpose of this research is to study the characteristics of chat messages from analysing a collection of 33,121 sample messages gathered from 1,700 sessions of conversations of 72 pairs of MSN Messenger users over a four month duration from June to September of 2005. The primary objective of chat message characterization is to understand the properties of chat messages for effective message analysis, such as message topic detection.

From the study on chat message characteristics, an indicative term‐based categorization approach for chat topic detection is proposed. In the proposed approach, different techniques such as sessionalisation of chat messages and extraction of features from icon texts and URLs are incorporated for message pre‐processing. Naïve Bayes, Associative Classification, and Support Vector Machine are employed as classifiers for categorizing topics from chat sessions.

Indicative term‐based approach is superior to the traditional document frequency based approach, for feature selection in chat topic categorization.

This paper studies the characteristics of chat messages and proposes an indicative term‐based categorization approach for chat topic detection.

This paper aims to explore how Chinese negotiators’ positive and negative emotions affect value claiming during dyadic negotiations and examine the influence of these aroused emotions on the recipient as well as the antecedents and consequents of such reactions.

Using a simulated face-to-face negotiation between buyers and sellers, the authors conducted an experiment based on the manipulation of the sellers’ emotions. About 280 undergraduates participated in a simulated negotiation. SPSS20.0 statistical analysis software was used to test the hypothesis.

The results indicated that the sellers who demonstrates negative emotions claimed more value than happy sellers (direct effect), and the perceived power disadvantage mediated this effect. Moreover, buyers in the happy dyads displayed a higher evaluation of their guanxi (relationship). This experiment also indicated that the sellers’ emotions (happiness or anger) evoked a reciprocal emotion in the buyers, supporting the social contagion perspective. More importantly, as emotion recipients, the buyers’ reactions exerted further influence on the outcomes (ripple effect); specifically, in the happy dyads, the buyers’ positive emotional reactions were negatively related to their individual gains. Finally, the buyers with low agreeableness were more likely to display negative emotional reactions.

Negotiators should have an understanding of how emotions may shape conflict development and resolution via direct and ripple effects. In general, during Chinese negotiations, expressing anger is an effective negotiation tactic that incurs the expense of damaged relationships with counterparts.

The findings validated the impact of emotions in the Chinese negotiation context. Further, the paper extended the research by demonstrating the influence of emotions on the recipients’ reactions. Both the direct and ripple effect provided evidence for adopting the strategic choice perspective during negotiations.

This paper aims to analyze soil electrical properties based on fractional calculus theory due to the fact that the frequency dependence of soil electrical parameters at high frequencies exhibits a fractional effect. In addition, for the fractional-order formulation, this paper aims to provide a more accurate numerical algorithm for solving the fractional differential equations.

This paper analyzes the frequency-dependence of soil electrical properties based on fractional calculus theory. A collocation method based on the Puiseux series is proposed to solve fractional differential equations.

The algorithm proposed in this paper can be used to solve fractional differential equations of arbitrary order, especially for 0.5th-order equations, obtaining accurate numerical solutions. Calculating the impact response of the grounding electrode based on the fractional calculus theory can obtain a more accurate result.

This paper proposes an algorithm for solving fractional differential equations of arbitrary order, especially for 0.5th-order equations. Using fractional calculus theory to analyze the frequency-dependent effect of soil electrical properties, provides a new idea for ground-related transient calculation.

The purpose of this paper is to recover the identity of Chinese intellectual discourse, arguing for the necessity of a Chinese methodology in educational research to be constructed on the basis of the Chinese philosophical traditions and the Chinese social norms for the aim of solving Chinese educational issues within the Chinese cultural context.

The paper is a theoretical paper, arguing for the ontological, epistemological and methodological basis for a Chinese methodology in educational research.

The major ontological issue of Chinese social and educational research, also the ultimate goal of the Chinese governance, is social harmony through harmonious personal relationships. The key to social harmony has been seen in the Chinese philosophical tradition as residing in people’s personal morality and obligation, which constitutes the epistemology of Chinese research. And the golden mean of moderation by synthesizing and balancing the dualist extremes of views and actions should be adopted as the methodological paradigm to researching social and educational issues in China.

The elaboration of these three entities holds promises in the construction of the Chinese methodological system on Chinese social terms and merits.

The author has long sensed that the extensive methodological borrowing from the West by Chinese scholars in educational research might be problematic, given the vast structural differences in the two social worlds that the author and other scholars have observed. A paper in English to argue for the necessity of constructing a uniquely Chinese methodology for educational research in China is an absolute necessity.