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Purpose – This chapter contributes to comparative biopolitics and reviews primatological literature, especially about our nearest relatives, the Great Apes.

Design/methodology/approach – Biopolitics in this chapter means evolutionarily informed political science, with emphasis on power relations. I review the literature on intrasexual and intersexual dominance interactions among individuals and competitive and/or agonistic interactions among groups in the Great Apes (Hominidae, formerly Pongidae): orangutan (Pongo with two species and three subspecies), gorilla (Gorilla with four subspecies), bonobo (Pan paniscus), and common chimpanzee (Pan troglodytes with four subspecies). In the final section I present some (speculative) thoughts on Pan prior or the modern human ancestor.

Findings – Not only Man is a political animal.

Originality/value – Impartial, objective, and as complete as possible review of the literature for the students of (comparative) politics, ethology, and psychology.

After briefly covering Bill Freudenburg’s early years, this essay reviews his major scholarly contributions and professional accomplishments while a faculty member at Washington State University, the University of Wisconsin, and the University of California-Santa Barbara. Bill’s unique strengths – especially his keen sociological imagination – and crucial conceptual, theoretical and empirical contributions are highlighted, as well as his commitment to providing valuable mentoring for students and colleagues. The enduring importance of his work is ensured by the continuing application and extension of his ideas by other scholars.

This paper tests the information efficiency of the Chinese stock market to judge if it contravenes the Fama (1965) efficient market hypothesis. Following China’s stock market reforms the market has grown in international importance, however many find information difficult to obtain and interpret.

The relative importance of earnings announcements is quantified using cross-sectional regressions of calendar-year annual returns R_i on returns in the four quarterly earnings announcement windows return R_j. The metric developed by Ball and Shivakumar (2008) and Basu et al. (2013) is used to determine the level of new information contained in earnings announcements.

Analysis reveals earnings announcements contain little new information of value, thus demonstrating the Chinese markets are not informationally efficient. Therefore, investors cannot automatically assume assets are always correctly priced, as they are in other established markets.

Major structural changes were made to Chinese equity markets in 2004, with the introduction of the Qualified Foreign Institutional Investors scheme. At the same time, firms were required to make earnings announcements on a quarterly basis. This paper is the first to test the impact of these changes on the information value of earnings announcements since the changes.

This paper gives a review of the finite element techniques (FE) applied in the area of material processing. The latest trends in metal forming, non‐metal forming, powder metallurgy and composite material processing are briefly discussed. The range of applications of finite elements on these subjects is extremely wide and cannot be presented in a single paper; therefore the aim of the paper is to give FE researchers/users only an encyclopaedic view of the different possibilities that exist today in the various fields mentioned above. An appendix included at the end of the paper presents a bibliography on finite element applications in material processing for 1994‐1996, where 1,370 references are listed. This bibliography is an updating of the paper written by Brannberg and Mackerle which has been published in Engineering Computations, Vol. 11 No. 5, 1994, pp. 413‐55.

This paper presents several methods for enhancing computational efficiency in both static and dynamic analysis of structural systems with localized non‐linear behaviour. A significant reduction of computational effort with respect to brute‐force non‐linear analysis is achieved in all cases at the insignificant (or no) loss of accuracy. The presented methodologies are easily incorporated into a standard computer program for linear analysis.